Who we are
We come from countries around the world to form a community of humans focused on the responsible development of AI. At MIT and IBM Research, we share a “mind and hand” commitment to the scientific method grounded in the practical pursuit of solving the world’s biggest problems.
The team at IBM Research Cambridge in Kendall Square.
Leadership
The MIT-IBM Watson AI Lab is lead by MIT chair and School of Engineering Dean Anantha Chandrakasan, Dario Gil, IBM chair, IBM Senior Vice President, and Director of Research, and MIT co-chair and MIT Stephen A. Schwarzman College of Computing Dean Dan Huttenlocher. David Cox of IBM Research and Aude Oliva of MIT co-direct the Lab. Each of our projects is jointly proposed and executed by IBM researchers and MIT faculty members. The MIT-IBM steering committee is composed of co-chairs David Cox and Aude Oliva, head of AI+D in the MIT Schwarzman College of Computing Antonio Torralba, Esther and Harold E. Edgerton Associate Professor at MIT Elsa A. Olivetti, Director of IBM Research Cambridge Lisa Amini, and Vice President of IBM Research Exploratory Science Jeff Welser.
Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab, director of strategic industry engagement in the MIT Schwarzman College of Computing, and a senior research scientist at MIT CSAIL, working on natural and artificial intelligence .
David Cox is the IBM director the MIT-IBM Watson AI Lab and the VP for AI Models at IBM Research. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the Lab’s work in neuro-symbolic AI and other key areas while leading the Lab’s IBM team in Cambridge, MA.
Anantha Chandrakasan is the dean of the MIT School of Engineering, the Vannevar Bush Professor of Electrical Engineering and Computer Science, and the MIT chair of the MIT-IBM Watson AI Lab. His research focuses on making electronic circuits more energy efficient.
Daniel Huttenlocher is the dean of the MIT Schwarzman College of Computing, Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science, and MIT co-chair of the MIT-IBM Watson AI Lab. He is recognized for his work in computer vision, social media, and understanding AI.
People
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Navid Azizan Ramon Fernandez Astudillo Faez Ahmed Arvind Jacob Andreas Pulkit Agrawal Masataro Asai Lisa AminiC
Zhenfang Chen Fotini Christia Connor Coley Pin-Yu Chen Isaac Chuang Shiyu Chang Jie Chen John Cohn David Cox Anantha ChandrakasanG
Brian Goehring Negin Golrezaei Emily Goldman Polina Golland Rafael Gomez-Bombarelli James Glass Soumya Ghosh Dan Gutfreund Kristjan Greenewald Chuang Gan Darío GilH
John Henning Juanita Hazel Naoise Holohan Anette “Peko” Hosoi Chris Hill Lauren Hinkel Daniel Huttenlocher Jonathan How Song Han Ben Dongsung HuhK
Donghyun Kim Leonid Karlinsky Nancy Kanwisher Dina Katabi Yoon Kim Michael Katz Boris Katz Leslie Kaelbling Hildegard Kühne Dmitry KrotovL
Songtao Lu Ja Young Lee Tomás Lozano-Perez Ju Li Li-wei Lehman Charles E. Leiserson Roger Levy Sijia LiuM
Aleksandra (Saška) Mojsilović Wojciech Matusik Thomas Malone Liz McShane Louis Mandel Alexandre Megretski Scott McFaddin Ian Molloy Vikash Mansinghka Josh McDermott Benedetto Marelli Youssef Mroueh Lee Martie Sara Magliacane Farzaneh MirzazadehR
Ramesh Raskar Manish Raghavan Jonathan Ragan-Kelley Frances Ross Daniela Rus Giuseppe Romano Raul RadovitzkyS
Julian Shun Yikang Shen Yossi Sheffi Vincent Sitzmann Jonathan Z Sun Samantha Smiley Kate Soule Devavrat Shah Mark Squillante Armando Solar-Lezama Arvind Satyanarayan Peter Szolovits Collin M. Stultz David Sontag Karthikeyan Shanmugam Prasanna Sattigeri Justin Solomon Hendrik Strobelt Akash SrivastavaAI Safety
Mengjia YanAI for Good
Anette “Peko” HosoiAI in Healthcare
Peter Szolovits Collin M. Stultz Roy Welsch Stan Finkelstein David Sontag Regina BarzilayAutoML
Armando Solar-LezamaAutonomous Systems
Jonathan HowComputational Design
Faez AhmedComputational Materials Science
Bradley Olsen Connor Coley Giuseppe Romano Raul Radovitzky Ju Li Elsa Olivetti Markus BuehlerComputational neuroscience
Nancy KanwisherComputer Vision
Rameswar Panda Rogerio Feris Daniel Huttenlocher Dan Gutfreund Hildegard Kühne Aude Oliva Antonio TorralbaCryptography
Vinod VaikuntanathanExplainability
Hendrik StrobeltGenerative Models
Phillip IsolaHigh Performance Computing
Steven JohnsonHuman-Computer Interaction
Arvind SatyanarayanInformation Theory
Yury PolyanskiyKnowledge Representation
Veronika ThostMachine Learning
Navid Azizan Jacob Andreas Gregory Wornell Stefanie Jegelka Una-May O’Reilly Tommi Jaakkola Justin SolomonMedical Image Analysis
Polina GollandMulti-agent Systems
Asu OzdaglarMultimodal Learning
Youssef MrouehNeural Symbolic Systems
Brian WilliamsReinforcement Learning
Pulkit AgrawalStatistics
Devavrat ShahSustainability
Sherrie WangTransfer Learning
Prasanna Sattigeri